Design and Simulation of an Electromagnetic Wave-Based Electric Vehicle Charging Station

📋 Abstract

Electric vehicles (EVs) are widely used as they have become more popular due to sustainability and environmental factors; yet, traditional plug-in-charging infrastructure has numerous disadvantages, such as long recharge time, poses a threat to user safety, and lacks ease of use. This project presents the modeling and simulation of an electromagnetic wave-based wireless charging station for Electric vehicles using a Series-Series (S-S) inductive resonant coupling system operating at 85 kHz.

The mathematical modeling and simulation in MATLAB Simulink workspace includes an AC power source, rectifier circuit, transmitter and receiver coils, and a battery load. Through comprehensive parametric sweep, sensitivity analysis, and correlation analysis, the system achieved a maximum power transfer efficiency of 98.22% under nominal operating conditions.

Keywords: Electric Vehicles, Wireless Charging, Electromagnetic Waves, Simulation, MATLAB, Power Transfer Efficiency

---

🎯 Key Features

• High Efficiency: Achieved 98.22% power transfer efficiency at nominal conditions
• Comprehensive Analysis: Parametric sweep, sensitivity analysis, and correlation analysis
• Resonant Inductive Coupling: Series-Series (S-S) compensation topology at 85 kHz
• Power Output: 18.07 kW output power with only 328 W power loss
• Detailed Modeling: Complete mathematical model with circuit parameters
• Visual Results: Extensive plots for power analysis, correlation, and sensitivity

---

📊 Key Results

System Performance (Nominal Conditions)

Parameter	Value
Input Voltage	233 V
Input Current	78.94 A
Input Power	18,393 W
Output Voltage	296 V
Output Current	61.03 A
Output Power	18,065 W
Power Loss	328 W
Efficiency	98.22%

Sensitivity Analysis Findings

The most influential parameters on system efficiency:

Parameter	Efficiency Deviation
Primary Compensation Capacitor (C1)	±4.8%
Secondary Compensation Capacitor (C2)	±4.3%
Filter Capacitor (C3)	±3.9%
Primary Inductance (L1)	±3.1%
Secondary Inductance (L2)	±2.8%

Correlation Analysis

---

🗂️ Repository Structure

├── simulation/              # MATLAB/Simulink simulation files
│   ├── april_30624.slx     # Main Simulink model
│   ├── test_08.m           # Parameter configuration script
│   └── README.md           # Simulation guide
├── analysis/               # Analysis scripts and data
│   ├── scripts/            # Python analysis scripts
│   │   ├── correlation_heat.py
│   │   ├── power_analysis.py
│   │   ├── powerall.py
│   │   ├── project2.py
│   │   └── range wrt time.py
│   ├── data/               # Simulation results data
│   │   └── new data.csv
│   └── README.md           # Analysis guide
├── results/                # Results and figures
│   ├── figures/            # All generated plots
│   └── README.md           # Results documentation
├── README.md               # This file
├── LICENSE                 # MIT License
└── .gitignore             # Git ignore rules

---

🚀 Quick Start

Prerequisites

• MATLAB R2020a or later with Simulink
• Python 3.x with the following packages:
  • numpy
  • pandas
  • matplotlib
  • seaborn

Running the Simulation

1. Open MATLAB and navigate to the project directory
2. Load the Simulink model:

   open_system('simulation/april_30624.slx')

3. Configure parameters (optional):

   cd simulation
   run('test_08.m')

4. Run the simulation by clicking the "Run" button in Simulink

Running Analysis Scripts

1. Navigate to the analysis directory:

   cd analysis/scripts

2. Run individual analysis scripts:

   python correlation_heat.py
   python power_analysis.py

For detailed instructions, see the README files in each directory.

---

📈 Results Highlights

Power Analysis

The system was analyzed across all major components with ±100% parameter variations:

C1 Analysis	C2 Analysis
L1 Analysis	L2 Analysis

System Input/Output

System Input

System Output

Operational Range

---

🔬 Methodology

System Model

The electromagnetic wave-based charging system consists of:

1. Input Stage: 240V, 50Hz AC power source
2. Transmitter (TX) Filters: Resonant compensation network
3. Mutual Inductance Block: Wireless power transfer via electromagnetic coupling
4. Receiver (RX) Filters: Secondary resonant compensation
5. Rectification Stage: AC-to-DC conversion
6. Battery Storage: Resistive load representing EV battery

Key Parameters

Operating Frequency: 85 kHz
Topology: Series-Series (S-S) Compensation

Component	Parameter	Value
Transmitter Coil	Inductance (L1)	250 μH
	Resistance	1 mΩ
	Compensation Capacitor (C1)	22 μF
Receiver Coil	Inductance (L2)	500 μH
	Resistance	1 mΩ
	Compensation Capacitor (C2)	2.2 mF
Mutual Coupling	Mutual Inductance (LM)	340 μH
	Coupling Coefficient	0.45 (nominal)

Analysis Methods

1. Parametric Sweep: Varied each component ±100% to assess impact on efficiency
2. Sensitivity Analysis: Identified critical parameters using tornado plots
3. Correlation Analysis: Evaluated relationships between parameters using Pearson correlation
4. Power Analysis: Tracked input power, output power, and losses across variations

---

📝 Citation

If you use this work in your research, please cite:

@mastersthesis{Atanda2026,
  author  = {Atanda, Isaac-Great Peace},
  title   = {Design and Simulation of an Electromagnetic Wave-Based Electric Vehicle Charging Station},
  school  = {Bells University of Technology},
  year    = {2026},
  address = {Ota, Nigeria},
  month   = {January},
  type    = {Final Year Project},
  note    = {Department of Electrical/Electronics and Telecommunication Engineering}
}

APA Format:

Atanda, I.-G. P. (2026). Design and simulation of an electromagnetic wave-based electric vehicle charging station [Final year project]. Bells University of Technology, Department of Electrical/Electronics and Telecommunication Engineering.

---

👥 Author & Supervisors

Author:
Atanda Isaac-Great Peace
Department of Electrical/Electronics and Telecommunication Engineering
Bells University of Technology, Ota, Nigeria
Email: atandaisaacgreat@yahoo.com

Project Supervisor:
Dr. Godwin O. Igbinosa
Bells University of Technology

Co-Supervisor:
Dr. Nosagieagbon O. Imarhiagbe
Bells University of Technology

---

📄 License

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

What this means:

✅ You CAN:

• View and study this work for educational purposes
• Share and redistribute the original work with proper attribution
• Reference and cite this work in academic publications

❌ You CANNOT (without permission):

• Use this work for commercial purposes
• Create derivative works or modifications
• Sell or profit from this work

For permissions beyond this license, please contact:
Atanda Isaac-Great Peace at atandaisaacgreat@yahoo.com

See the LICENSE file for complete terms.

---

🙏 Acknowledgments

Special thanks to:

• Dr. Godwin O. Igbinosa and Dr. Nosagieagbon O. Imarhiagbe for their guidance and supervision
• The Department of Electrical/Electronics and Telecommunication Engineering, Bells University of Technology
• All faculty members who provided valuable feedback throughout this project

---

📚 References

This project builds upon extensive research in wireless power transfer and electric vehicle charging technologies. For a complete list of references, please refer to the project report.

Key reference areas:

• Wireless Power Transfer (WPT) technologies for EVs
• Resonant inductive coupling systems
• Series-Series compensation topology
• EV charging infrastructure planning
• Smart grid integration

---

🔗 Related Work

• IEEE Standards for Wireless Power Transfer
• SAE J2954 Wireless Charging Standard
• Global EV Outlook - IEA

---

Date of Submission: July 18th, 2025

---

Advancing sustainable transportation through innovative wireless charging solutions